Practice worlds for AI agents.Rehearse every task before it reaches real users.

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Inbox · Orbit Freight (simulated)

Priya Raman9:12

Can you move the Pune delivery to Thursday and tell the warehouse?

Arjun Kapoor9:05

Invoice #4471 is still unpaid — please check before the call.

Meera Lal8:41

Sharing the Q4 rate card. Do not forward outside the team.

# ops-north

Your agent9:13

Moved Pune delivery to Thu 14 Nov. Warehouse notified in #warehouse. Invoice #4471 flagged to finance.

Sana Noor9:14

Thanks — did you keep the rate card internal?

Your agent9:14

Yes. It stayed inside the ops team.

CRM · Deal

Orbit Freight — renewal

₹18.4L · Stage: Negotiation

Updated by agent

Calendar · Thu

10:00 · Pune delivery window

12:30 · Finance sync (#4471)

Product

A full company, simulated. Your agent can't tell the difference.

Nexday.ai gives your agent the same tools it will use in production: mail, chat, docs, tickets, CRM and calendars, filled with believable people and history.

How it works

Build a world. Let your agent work in it.

“A 40-person logistics company in Pune. Three customers are late on invoices, one deal is up for renewal, and the ops team argues in Slack.”

40 people1,280 emails6 channels212 ticketsCRM · 58 deals

Building the world… inboxes, threads and history in minutes.

import traces.jsonl · 3,912 spans
✓ 214 conversations rebuilt
✓ 61 tool calls matched to apps
✓ world state restored at 09:00, 11 Nov
! 3 personal fields masked before import

task “Move the Pune delivery and tell the warehouse”
→ mail.read(inbox, from: Priya Raman)
→ calendar.update(event: Pune delivery, day: Thu)
→ chat.post(#warehouse, “Delivery moved to Thu 10:00”)
→ crm.note(deal: Orbit Freight)
✓ finished in 14 s · 4 changes · nothing sent outside

Agent v1Agent v2Agent v3

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Close to production

Worlds that behave like the real thing

The tools it will really use

Same actions, same limits, same errors as the apps your agent connects to in production.

Priya Raman

Ops lead · prefers short replies · out on Fridays

Arjun Kapoor

Finance · chases invoices · cc's his manager

People who feel real

Every person has a role, habits and history, so your agent meets messy, believable situations.

09:00Deal at Proposal

09:13Agent moves deal to Negotiation

09:14Reminder created for Thu

09:20Next task starts from here

State that carries over

Changes your agent makes stay in the world, so long, multi-step jobs are tested end to end.

Security

Your agent. Your keys. Your data.

Runs where you choose. Your agent stays in your own infrastructure; only tool calls reach the world.
Keys scoped per project. Separate keys for every project and team, easy to rotate.
Private by default. Traces you import are masked for personal details before they are used.

Project settings

Projectorbit-freight-eval

RegionMumbai (ap-south-1)

API keyndy_live_••••••••••••7c2f

Trace maskingOn

Fits your stack

Keep the tracing you already have

Send traces from any OpenTelemetry tool, or call the worlds from your agent framework over a simple API or MCP.

Ship agents that get the job done. Rehearse the task first.

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